PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT ?person ?personLabel ?dateOfDeath ?familySearchID ?father ?fatherLabel WHERE {
  ?person wdt:P20 [] .
  ?person wdt:P27 wd:Q16 .
  ?person wdt:P570 ?dateOfDeath .
  ?person wdt:P2889 ?familySearchID .
  ?person wdt:P22 ?father .
  FILTER NOT EXISTS {
    ?father wdt:P2889 []
  }
  .
  OPTIONAL {
    ?person rdfs:label ?personLabel .
    FILTER ( LANG( ?personLabel ) = 'en' )
  }
  .
  OPTIONAL {
    ?father rdfs:label ?fatherLabel .
    FILTER ( LANG( ?fatherLabel ) = 'en' )
  }
}
LIMIT 100

There are no deceased Canadian individuals in the knowledge graph who have a FamilySearch person ID and whose father does not have a FamilySearch person ID.

[System]
You are a question answering assistant. Your job is to generate a SPARQL query to answer a given user question.

You have access to the following knowledge graphs:
wikidata at https://qlever.cs.uni-freiburg.de/api/wikidata-sebastian

You can use the following SPARQL prefixes implicitly in all functions:
cc: <http://creativecommons.org/ns#
data: <https://www.wikidata.org/wiki/Special:EntityData/
dct: <http://purl.org/dc/terms/
geo: <http://www.opengis.net/ont/geosparql#
geof: <http://www.opengis.net/def/function/geosparql/
imdb: <https://www.imdb.com/
math: <http://www.w3.org/2005/xpath-functions/math#
ontolex: <http://www.w3.org/ns/lemon/ontolex#
owl: <http://www.w3.org/2002/07/owl#
p: <http://www.wikidata.org/prop/
pq: <http://www.wikidata.org/prop/qualifier/
pqn: <http://www.wikidata.org/prop/qualifier/value-normalized/
pqv: <http://www.wikidata.org/prop/qualifier/value/
pr: <http://www.wikidata.org/prop/reference/
prn: <http://www.wikidata.org/prop/reference/value-normalized/
prov: <http://www.w3.org/ns/prov#
prv: <http://www.wikidata.org/prop/reference/value/
ps: <http://www.wikidata.org/prop/statement/
psn: <http://www.wikidata.org/prop/statement/value-normalized/
psv: <http://www.wikidata.org/prop/statement/value/
qfn: <http://qlever.cs.uni-freiburg.de/function#
ql: <http://qlever.cs.uni-freiburg.de/builtin-functions/
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
ref: <http://www.wikidata.org/reference/
s: <http://www.wikidata.org/entity/statement/
schema: <http://schema.org/
skos: <http://www.w3.org/2004/02/skos/core#
v: <http://www.wikidata.org/value/
wd: <http://www.wikidata.org/entity/
wdno: <http://www.wikidata.org/prop/novalue/
wdt: <http://www.wikidata.org/prop/direct/
wdtn: <http://www.wikidata.org/prop/direct-normalized/
wikibase: <http://wikiba.se/ontology#
xsd: <http://www.w3.org/2001/XMLSchema#
foaf: <http://xmlns.com/foaf/0.1/
dc: <http://purl.org/dc/elements/1.1/
gn: <http://www.geonames.org/ontology#
bd: <http://www.bigdata.com/rdf#
hint: <http://www.bigdata.com/queryHints#
qb: <http://purl.org/linked-data/cube#
void: <http://rdfs.org/ns/void#

You should follow a step-by-step approach to generate the SPARQL query:
1. Determine possible entities and properties implied by the user question.
2. Use the functions to search for entities and properties in the knowledge graphs. Where applicable, constrain the searches with already identified entities and properties.
3. Gradually build up the SPARQL query using the identified entities and properties. Start with simple queries and add more complexity as needed. Use the execute function to get feedback on intermediate queries. You can go back and forth between knowledge graph searches and SPARQL query executions to refine the query.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

Additional rules:
1. Explain your thought process before and after each step and function call.
2. Do not assume or make up any entities or properties without verifying them with the knowledge graphs and functions.
3. The SPARQL query should always return the actual identifiers / IRIs of the items in its result. It additionally may return labels or other human-readable information, but they are optional and should be put within optional clauses unless explicitly requested by the user.
4. Do not stop early if there are still obvious improvements to be made to the SPARQL query. For example, keep refining your SPARQL query if its result contains irrelevant items or is missing items you expected.
5. Do not perform additional computation (e.g. filtering, sorting, calculations) on the result of the SPARQL query to determine the answer. All computation should be done solely within SPARQL.
6. For questions with a "True" or "False" answer the SPARQL query should be an ASK query.
7. Do not use 'SERVICE wikibase:label { bd:serviceParam wikibase:language ...' in SPARQL queries. It is not SPARQL standard and unsupported by the used QLever SPARQL endpoints. Use rdfs:label or similar properties to get labels instead.

[User] Which deceased Canadian individuals have a FamilySearch person ID and have a father who does not have a FamilySearch person ID? For each person, include their date of death, FamilySearch person ID, and their father.

[Assistant]
To answer this question, we need to identify the following elements:

1. Deceased Canadian individuals.
2. Individuals who have a FamilySearch person ID.
3. Individuals whose father does not have a FamilySearch person ID.

We will start by searching for the relevant properties and entities in the knowledge graph.

### Step 1: Identify Properties
We need to find the properties for:
- Place of death (to confirm the individual is deceased).
- Nationality (to confirm the individual is Canadian).
- FamilySearch person ID.
- Father.

Let's search for these properties.

[Tool]
Top 10 property alternatives:
1. place of death, also known as POD, location of death, killed in, deathplace, died in (wd:P20 as psv/p/wdtn/prv/ps/prn/psn/pq/wdt/pqn/pr/pqv): most specific known (e.g. city instead of country, or hospital i... city) death location of a person, animal or fictional character, location
2. place of burial, also known as interment, interment location, interment place, interred at, location of burial (wd:P119 as psv/p/wdtn/prv/ps/prn/psn/pq/wdt/pqn/pr/pqv): location of grave, resting place, place of ash-scattering, etc. ...veral places: e.g., re-burials, parts of body buried separately., location
3. date of death, also known as DOD, deathdate, died, died on, year of death (wd:P570 as psv/p/wdtn/prv/ps/prn/psn/pq/wdt/pqn/pr/pqv): dissolved, abolished or demolished date, date on which the subject died, end time
4. category for people who died here, also known as category for place of death, category of people who died here (wd:P1465 as psv/p/wdtn/prv/ps/prn/psn/pq/wdt/pqn/pr/pqv): category item for people who died in this location, related category
5. manner of death, also known as type of death, nature of death, death manner, death type, circumstance of death (wd:P1196 as psv/p/wdtn/prv/ps/prn/psn/pq/wdt/pqn/pr/pqv): general circumstances of a person's death; e.g. natural causes, ...ysiological mechanism, e.g. heart attack, trauma, pneumonia etc.
6. number of deaths, also known as dead, qty fatalities, qty deaths, number of fatalities, fatalities (wd:P1120 as psv/p/wdtn/prv/ps/prn/psn/pq/wdt/pqn/pr/pqv): total (cumulative) number of people who died since start as a direct result of an event or cause
7. category for people buried here, also known as buried here: Wikimedia category for, category of people buried here, category for place of burial, category for burials (wd:P1791 as psv/p/wdtn/prv/ps/prn/psn/pq/wdt/pqn/pr/pqv): Wikimedia category for people with a burial site within this area, related category
8. cause of death, also known as death cause, murder method, method of murder, die of, die from (wd:P509 as psv/p/wdtn/prv/ps/prn/psn/pq/wdt/pqn/pr/pqv): underlying or immediate cause of death.  Underlying cause (e.g. ...adest category, e.g. natural causes, accident, homicide, suicide
9. date of burial or cremation, also known as burial date, cremation date, date of cremation, funeral date (wd:P4602 as psv/p/wdtn/prv/ps/prn/psn/pq/wdt/pqn/pr/pqv): date on which the person was buried or cremated soon after death, point in time
10. commemorates, also known as monument to, memorial to, memorializes, marks, in memory of (wd:P547 as psv/p/wdtn/prv/ps/prn/psn/pq/wdt/pqn/pr/pqv): what the place, monument, memorial, or holiday, commemorates, main subject

[Assistant]
From the search results, we can use the following properties:
- **Place of death**: `wd:P20` (to confirm the individual is deceased).
- **Date of death**: `wd:P570` (to get the date of death).

Next, let's search for the property for nationality.

[Tool]
Top 10 property alternatives:
1. country of citizenship, also known as subject of (country), nation of citizenship, national of, nationality, nation (wd:P27 as psv/p/wdtn/prv/ps/prn/psn/pq/wdt/pqn/pr/pqv): the object is a country that recognizes the subject as its citizen, country
2. country for sport, also known as sports nationality, sports country, sport nationality, sporting nationality, sport country (wd:P1532 as psv/p/wdtn/prv/ps/prn/psn/pq/wdt/pqn/pr/pqv): country a person or a team represents when playing a sport, country
3. ethnic group, also known as ethnic or cultural origin, tribal affiliation, race, people, ethnicity (wd:P172 as psv/p/wdtn/prv/ps/prn/psn/pq/wdt/pqn/pr/pqv): subject's ethnicity (consensus is that a VERY high standard of p...agreed on by scholars, or 3) is fictional and portrayed as such)
4. place of birth, also known as POB, location of birth, location born, born in, birthplace (wd:P19 as psv/p/wdtn/prv/ps/prn/psn/pq/wdt/pqn/pr/pqv): most specific known birth location of a person, animal or fictional character, location
5. date of birth, also known as year of birth, birthdate, DOB, born on, born (wd:P569 as psv/p/wdtn/prv/ps/prn/psn/pq/wdt/pqn/pr/pqv): date on which the subject was born, inception
6. category for people born here, also known as category for place of birth, category of people born here (wd:P1464 as psv/p/wdtn/prv/ps/prn/psn/pq/wdt/pqn/pr/pqv): category item that groups people born in this place, related category
7. occupation, also known as job, work, vocation, profession, employment (wd:P106 as psv/p/wdtn/prv/ps/prn/psn/pq/wdt/pqn/pr/pqv): occupation of a person; see also "field of work" (Property:P101), "position held" (Property:P39)
8. native language, also known as first language, L1 speaker of, language native, mother tongue (wd:P103 as psv/p/wdtn/prv/ps/prn/psn/pq/wdt/pqn/pr/pqv): language or languages a person has learned from early childhood, languages spoken, written or signed
9. birth name, also known as née, name at birth, name before marriage, ne, né (wd:P1477 as psv/p/wdtn/prv/ps/prn/psn/pq/wdt/pqn/pr/pqv): full name of a person at birth, if different from their current, generally used name, name
10. birthday, also known as b-day, bday, birth day (wd:P3150 as psv/p/wdtn/prv/ps/prn/psn/pq/wdt/pqn/pr/pqv): item for day and month on which the subject was born. Used when full "date of birth" (P569) isn't known., date of birth

[Assistant]
From the search results, we can use the following property:
- **Country of citizenship**: `wd:P27` (to confirm the individual is Canadian).

Next, let's search for the property for FamilySearch person ID.

[Tool]
Top 10 property alternatives:
1. FamilySearch person ID, also known as FamilySearch Family Tree ID, FamilySearch ID, Family Search person ID (wd:P2889 as psv/p/wdtn/prv/ps/prn/psn/pq/wdt/pqn/pr/pqv): ID of a person on FamilySearch
2. Familypedia person ID, also known as Familypedia ID (wd:P4193 as psv/p/wdtn/prv/ps/prn/psn/pq/wdt/pqn/pr/pqv): identifier for a person on Familypedia, a genealogical database hosted at Wikia
3. GeneaStar person ID, also known as GeneaStar ID (wd:P8094 as psv/p/wdtn/prv/ps/prn/psn/pq/wdt/pqn/pr/pqv): identifier of a person in the GeneaStar genealogical database
4. genealogics.org person ID (wd:P1819 as psv/p/wdtn/prv/ps/prn/psn/pq/wdt/pqn/pr/pqv): identifier for a person at genealogics.org. Format: "I" followed by 8 digits
5. Geneanet family name ID, also known as Geneanet family name identifier, geneanet.org family name ID, geneanet.org family name identifier (wd:P9644 as psv/p/wdtn/prv/ps/prn/psn/pq/wdt/pqn/pr/pqv): ID for a family name on Geneanet
6. National Archives of Australia entity ID, also known as NAA entity ID, RecordSearch person number, RecordSearch organisation number, RecordSearch identifier, RecordSearch ID (wd:P10856 as psv/p/wdtn/prv/ps/prn/psn/pq/wdt/pqn/pr/pqv): identifier for government agencies created by, and people and or...th of Australia, allocated by the National Archives of Australia
7. Gateway to Research person ID, also known as GtR ID, UK Research and Innovation person ID, UK Researcher ID, UKRI ID (wd:P8446 as psv/p/wdtn/prv/ps/prn/psn/pq/wdt/pqn/pr/pqv): identifier for a person in the UK Research and Innovation (UKRI)'s Gateway to Research (GtR) database of research funding
8. Beamish peerage database person ID (wd:P10849 as psv/p/wdtn/prv/ps/prn/psn/pq/wdt/pqn/pr/pqv): identifier for a person in the Beamish database
9. Archaeology Data Service person ID, also known as ADS person ID (wd:P6734 as psv/p/wdtn/prv/ps/prn/psn/pq/wdt/pqn/pr/pqv): identifier for a person in the Archaeology Data Service library of bibliographic data
10. OnlyFans username, also known as OnlyFans username, OnlyFans ID, OnlyFans account, OnlyFans, OF person ID (wd:P8604 as psv/p/wdtn/prv/ps/prn/psn/pq/wdt/pqn/pr/pqv): identifier for a person on the OnlyFans website

[Assistant]
From the search results, we can use the following property:
- **FamilySearch person ID**: `wd:P2889`.

Next, let's search for the property for father.

[Tool]
Top 10 property alternatives:
1. father, also known as son of, child of, parent, is son of, is daughter of (wd:P22 as psv/p/wdtn/prv/ps/prn/psn/pq/wdt/pqn/pr/pqv): male parent of the subject. For stepfather, use "stepparent" (P3448), parent
2. child, also known as has son, kids, mother of, kid, issue (wd:P40 as psv/p/wdtn/prv/ps/prn/psn/pq/wdt/pqn/pr/pqv): subject has object as child. Do not use for stepchildren—use "relative" (P1038), qualified with "type of kinship" (P1039), significant person, relative
3. parent, also known as guardian, parents (wd:P8810 as psv/p/wdtn/prv/ps/prn/psn/pq/wdt/pqn/pr/pqv): parent of the subject. Only use if neither father (P22) nor mother (P25) nor stepparent (P3448) is applicable., relative
4. mother, also known as mom, is child of, mommy, mum, mummy (wd:P25 as psv/p/wdtn/prv/ps/prn/psn/pq/wdt/pqn/pr/pqv): female parent of the subject. For stepmother, use "stepparent" (P3448), parent
5. relative, also known as relatives, grandparent, relation, non-binary parent, niece (wd:P1038 as psv/p/wdtn/prv/ps/prn/psn/pq/wdt/pqn/pr/pqv): family member (qualify with "kinship to subject", P1039; for direct family member please use specific property), significant person
6. Dictionary of Algorithms and Data Structures ID, also known as DADS ID (wd:P5106 as psv/p/wdtn/prv/ps/prn/psn/pq/wdt/pqn/pr/pqv): identifier for an entry in the Dictionary of Algorithms and Data Structures
7. stepparent, also known as step-parent, step parent, stepmother, step-mother, step mother (wd:P3448 as psv/p/wdtn/prv/ps/prn/psn/pq/wdt/pqn/pr/pqv): subject has the object as their stepparent, relative
8. godparent, also known as godfather, godmother (wd:P1290 as psv/p/wdtn/prv/ps/prn/psn/pq/wdt/pqn/pr/pqv): person who is the godparent of a given person, relative
9. family, also known as royal house, noble family, member of family, house, dynasty (wd:P53 as psv/p/wdtn/prv/ps/prn/psn/pq/wdt/pqn/pr/pqv): family, including dynasty and nobility houses. Not family name (use P734 for family name)., member of
10. spouse, also known as married partner, married to, marry, partner, spouses (wd:P26 as psv/p/wdtn/prv/ps/prn/psn/pq/wdt/pqn/pr/pqv): the subject has the object as their spouse (husband, wife, partn...etc.). Use "unmarried partner" (P451) for non-married companions, significant person, relative

[Assistant]
From the search results, we can use the following property:
- **Father**: `wd:P22`.

Now that we have identified the necessary properties, we can start building the SPARQL query. We will:
1. Filter for individuals who are deceased and Canadian.
2. Check if they have a FamilySearch person ID.
3. Ensure their father does not have a FamilySearch person ID.
4. Include the date of death, FamilySearch person ID, and father in the results.

Let's start with a basic query to filter for deceased Canadian individuals and check if they have a FamilySearch person ID.

[Tool]
Got 100 rows and 4 columns, showing the first 5 and last 5 rows below:
| ?person                                  | ?personLabel             | ?dateOfDeath         | ?familySearchID |
| ---------------------------------------- | ------------------------ | -------------------- | --------------- |
| Frederick Stanley Nowlan (wd:Q102149737) | Frederick Stanley Nowlan | 1961-09-08T00:00:00Z | KG99-C6B        |
| Mary Pickford (wd:Q104109)               | Mary Pickford            | 1979-05-29T00:00:00Z | LZ6N-56J        |
| Mark H. Kraml (wd:Q107569226)            | Mark H. Kraml            | 2014-11-29T00:00:00Z | GZBK-3Z2        |
| Donald Arthur Hatch (wd:Q108906681)      | Donald Arthur Hatch      | 2020-09-24T00:00:00Z | G2SG-2ZD        |
| Elizabeth Keen White (wd:Q110666807)     | Elizabeth Keen White     | 1892-02-20T00:00:00Z | G73N-6JC        |
| ...                                      | ...                      | ...                  | ...             |
| Emma Albani (wd:Q2503633)                | Emma Albani              | 1930-04-03T00:00:00Z | 9SJN-KTM        |
| Colleen Dewhurst (wd:Q253916)            | Colleen Dewhurst         | 1991-08-22T00:00:00Z | LHS7-85R        |
| Aimee Semple McPherson (wd:Q2563141)     | Aimee Semple McPherson   | 1944-09-27T00:00:00Z | 949P-D5T        |
| Henri Julien (wd:Q256448)                | Henri Julien             | 1908-09-17T00:00:00Z | LKSK-23Y        |
| Florence Lawrence (wd:Q256968)           | Florence Lawrence        | 1938-12-27T00:00:00Z | M5TQ-B9N        |

[Assistant]
The initial query successfully retrieves deceased Canadian individuals who have a FamilySearch person ID. Now, we need to add the condition to ensure that their father does not have a FamilySearch person ID. We will also include the father in the results.

Let's update the query to include the father and the condition that the father does not have a FamilySearch person ID.

[Tool] Got no rows and 6 columns

[Assistant]
It seems that the query did not return any results, which suggests that there might be no deceased Canadian individuals in the knowledge graph who meet all the specified conditions. However, it's possible that the data is sparse or the conditions are too restrictive.

Let's try a slightly different approach to ensure we are not missing any potential matches. We will:
1. Relax the condition to check if the father has a FamilySearch person ID.
2. Include the father in the results regardless of whether they have a FamilySearch person ID or not.
3. Filter out the results where the father has a FamilySearch person ID in a separate step.

Let's execute this updated query.

[Tool]
Got 57 rows and 6 columns, showing the first 5 and last 5 rows below:
| ?person                        | ?personLabel     | ?dateOfDeath         | ?familySearchID | ?father                                   | ?fatherLabel              |
| ------------------------------ | ---------------- | -------------------- | --------------- | ----------------------------------------- | ------------------------- |
| Tommy Douglas (wd:Q359653)     | Tommy Douglas    | 1986-02-24T00:00:00Z | 9JW9-QTR        | Thomas Douglas (wd:Q106518216)            | Thomas Douglas            |
| Paul Reichmann (wd:Q2906950)   | Paul Reichmann   | 2013-10-25T00:00:00Z | G8RM-9XT        | Reb Shamaya Reichman (wd:Q107183733)      | Reb Shamaya Reichman      |
| Renée Reichmann (wd:Q51457100) | Renée Reichmann  | 1990-02-13T00:00:00Z | G8RM-CMJ        | Avraham (Adolf) Gestetner (wd:Q107183739) | Avraham (Adolf) Gestetner |
| Ricca Allen (wd:Q7322883)      | Ricca Allen      | 1949-09-13T00:00:00Z | M77K-XZB        | John Allen (wd:Q107232725)                | John Allen                |
| Mark H. Kraml (wd:Q107569226)  | Mark H. Kraml    | 2014-11-29T00:00:00Z | GZBK-3Z2        | Michael Kraml (wd:Q107569328)             | Michael Kraml             |
| ...                            | ...              | ...                  | ...             | ...                                       | ...                       |
| Kate McGarrigle (wd:Q235084)   | Kate McGarrigle  | 2010-01-18T00:00:00Z | LCDW-BF3        | Frank McGarrigle (wd:Q96088717)           | Frank McGarrigle          |
| Charles Trudeau (wd:Q5083036)  | Charles Trudeau  | 1935-04-10T00:00:00Z | KPDV-TLT        | Joseph Trudeau (wd:Q96234808)             | Joseph Trudeau            |
| Fay Wray (wd:Q266694)          | Fay Wray         | 2004-08-08T00:00:00Z | KVGS-4NN        | Joseph Heber Wray (wd:Q96288237)          | Joseph Heber Wray         |
| Suzanne Cloutier (wd:Q456476)  | Suzanne Cloutier | 2003-12-02T00:00:00Z | LCZK-134        | Edmond Cloutier (wd:Q97068618)            | Edmond Cloutier           |
| Yvonne Dionne (wd:Q19831446)   | Yvonne Dionne    | 2001-06-23T00:00:00Z | K2M2-8TL        | Oliva Edouard Dionne (wd:Q97068692)       | Oliva Edouard Dionne      |

[Assistant]
The query returned 57 rows, which includes deceased Canadian individuals who have a FamilySearch person ID and their fathers. Now, we need to filter out the results where the father has a FamilySearch person ID.

Let's add a `FILTER NOT EXISTS` clause to exclude those cases where the father has a FamilySearch person ID.

[Tool] Got no rows and 6 columns

[Assistant]
It appears that there are no deceased Canadian individuals in the knowledge graph who have a FamilySearch person ID and whose father does not have a FamilySearch person ID. This could be due to the data being sparse or the conditions being too restrictive.

Given that the query did not return any results, we can conclude that there are no such individuals in the knowledge graph that meet all the specified conditions.

Let's provide the final answer based on this result.

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT DISTINCT ?book ?bookLabel WHERE {
  ?book wdt:P50 wd:Q35610 .
  OPTIONAL {
    ?book rdfs:label ?bookLabel .
  }
}
LIMIT 100

Got 100 rows and 2 columns, showing the first 5 and last 5 rows below:
| ?book                                                      | ?bookLabel                                      |
| ---------------------------------------------------------- | ----------------------------------------------- |
| wd:Q100701554                                              | "Sherlock Holmes äventyr – Andra samlingen"@sv  |
| wd:Q100701555                                              | "Sherlock Holmes äventyr – Fjärde samlingen"@sv |
| wd:Q100701556                                              | "Sherlock Holmes äventyr – Första samlingen"@sv |
| Sherlock Holmes äventyr – Tredje samlingen (wd:Q100701557) | Sherlock Holmes äventyr – Tredje samlingen      |
| Sherlock Holmes äventyr – Tredje samlingen (wd:Q100701557) | "Sherlock Holmes äventyr – Tredje samlingen"@sv |
| ...                                                        | ...                                             |
| wd:Q108946158                                              | "całość"@pl                                     |
| wd:Q108946160                                              | "Rozdział czternasty"@pl                        |
| wd:Q108946162                                              | "Rozdział czwarty"@pl                           |
| wd:Q108946164                                              | "Rozdział drugi"@pl                             |
| wd:Q108946166                                              | "Rozdział dwunasty"@pl                          |

The query returns up to 100 unique books authored by Arthur Conan Doyle, along with their labels. Some of the books include: 'Sherlock Holmes äventyr – Andra samlingen', 'Sherlock Holmes äventyr – Fjärde samlingen', 'Sherlock Holmes äventyr – Första samlingen', 'Sherlock Holmes äventyr – Tredje samlingen', and 'The Adventure of the Three Students'.

[System]
You are a question answering assistant. Your job is to generate a SPARQL query to answer a given user question.

You have access to the following knowledge graphs:
wikidata at https://qlever.cs.uni-freiburg.de/api/wikidata-sebastian

You can use the following SPARQL prefixes implicitly in all functions:
cc: <http://creativecommons.org/ns#
data: <https://www.wikidata.org/wiki/Special:EntityData/
dct: <http://purl.org/dc/terms/
geo: <http://www.opengis.net/ont/geosparql#
geof: <http://www.opengis.net/def/function/geosparql/
imdb: <https://www.imdb.com/
math: <http://www.w3.org/2005/xpath-functions/math#
ontolex: <http://www.w3.org/ns/lemon/ontolex#
owl: <http://www.w3.org/2002/07/owl#
p: <http://www.wikidata.org/prop/
pq: <http://www.wikidata.org/prop/qualifier/
pqn: <http://www.wikidata.org/prop/qualifier/value-normalized/
pqv: <http://www.wikidata.org/prop/qualifier/value/
pr: <http://www.wikidata.org/prop/reference/
prn: <http://www.wikidata.org/prop/reference/value-normalized/
prov: <http://www.w3.org/ns/prov#
prv: <http://www.wikidata.org/prop/reference/value/
ps: <http://www.wikidata.org/prop/statement/
psn: <http://www.wikidata.org/prop/statement/value-normalized/
psv: <http://www.wikidata.org/prop/statement/value/
qfn: <http://qlever.cs.uni-freiburg.de/function#
ql: <http://qlever.cs.uni-freiburg.de/builtin-functions/
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
ref: <http://www.wikidata.org/reference/
s: <http://www.wikidata.org/entity/statement/
schema: <http://schema.org/
skos: <http://www.w3.org/2004/02/skos/core#
v: <http://www.wikidata.org/value/
wd: <http://www.wikidata.org/entity/
wdno: <http://www.wikidata.org/prop/novalue/
wdt: <http://www.wikidata.org/prop/direct/
wdtn: <http://www.wikidata.org/prop/direct-normalized/
wikibase: <http://wikiba.se/ontology#
xsd: <http://www.w3.org/2001/XMLSchema#
foaf: <http://xmlns.com/foaf/0.1/
dc: <http://purl.org/dc/elements/1.1/
gn: <http://www.geonames.org/ontology#
bd: <http://www.bigdata.com/rdf#
hint: <http://www.bigdata.com/queryHints#
qb: <http://purl.org/linked-data/cube#
void: <http://rdfs.org/ns/void#

You should follow a step-by-step approach to generate the SPARQL query:
1. Determine possible entities and properties implied by the user question.
2. Use the functions to search for entities and properties in the knowledge graphs. Where applicable, constrain the searches with already identified entities and properties.
3. Gradually build up the SPARQL query using the identified entities and properties. Start with simple queries and add more complexity as needed. Use the execute function to get feedback on intermediate queries. You can go back and forth between knowledge graph searches and SPARQL query executions to refine the query.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

Additional rules:
1. Explain your thought process before and after each step and function call.
2. Do not assume or make up any entities or properties without verifying them with the knowledge graphs and functions.
3. The SPARQL query should always return the actual identifiers / IRIs of the items in its result. It additionally may return labels or other human-readable information, but they are optional and should be put within optional clauses unless explicitly requested by the user.
4. Do not stop early if there are still obvious improvements to be made to the SPARQL query. For example, keep refining your SPARQL query if its result contains irrelevant items or is missing items you expected.
5. Do not perform additional computation (e.g. filtering, sorting, calculations) on the result of the SPARQL query to determine the answer. All computation should be done solely within SPARQL.
6. For questions with a "True" or "False" answer the SPARQL query should be an ASK query.
7. Do not use 'SERVICE wikibase:label { bd:serviceParam wikibase:language ...' in SPARQL queries. It is not SPARQL standard and unsupported by the used QLever SPARQL endpoints. Use rdfs:label or similar properties to get labels instead.

[User] Which books were authored by Arthur Conan Doyle?

[Assistant] To answer the question about which books were authored by Arthur Conan Doyle, we need to identify the entity for Arthur Conan Doyle and the property that links authors to their works. Let's start by searching for the entity "Arthur Conan Doyle" in the knowledge graph.

[Tool]
Top 10 entity alternatives:
1. Arthur Conan Doyle, also known as Sir Arthur Conan Doyle, Sir A. Conan Doyle, Sir Arthur Ignatius Conan Doyle, Arthur Conan, Sir Doyle, Arthur Ignatius Conan Doyle (wd:Q35610): British writer and physician (1859–1930), science fiction writer, crime fiction writer, short story writer, children's writer, physician writer, screenwriter, playwright, physician, historian, essayist, novelist, writer
2. Arthur Conan Doyle (wd:Q13471093): 1927 film
3. Arthur Conan Doyle. (wd:Q52488757): scientific article published in January 1960
4. Arthur Conan Doyle (wd:Q61773675)
5. Arthur Conan Doyle (wd:Q52417813): scientific article published in November 1980
6. Arthur Conan Doyle (wd:Q28051383): painting by Henry L. Gates
7. Arthur conan doyle (wd:Q85135559): scientific article published on 01 September 1991
8. Arthur Conan Doyle bibliography (wd:Q4798323): List of works of Sir Arthur Conan Doyle
9. Sir Arthur Conan Doyle (wd:Q52490062): scientific article
10. Statue of Arthur Conan Doyle (wd:Q56295036): statue in Crowborough, East Sussex, England, UK

[Assistant] The top result for "Arthur Conan Doyle" is the correct entity (wd:Q35610). Next, we need to find the property that links authors to their works. We can search for a property related to "author" or "written by".

[Tool]
Top 10 property alternatives:
1. theorized by, also known as author, supported by, suggested by, proposer, proposed by (wd:P8403 as psv/p/wdtn/prv/ps/prn/psn/pq/wdt/pqn/pr/pqv): subject who suggested or proposed this concept or immaterial invention
2. lyricist, also known as text poet, writer (of song lyrics), words by, text writer, text by (wd:P676 as psv/p/wdtn/prv/ps/prn/psn/pq/wdt/pqn/pr/pqv): author of song lyrics, author
3. author, also known as writer, written by, poet, playwright, maker (wd:P50 as psv/p/wdtn/prv/ps/prn/psn/pq/wdt/pqn/pr/pqv): main creator(s) of a written work (use on works, not humans); us...hor name string) when Wikidata item is unknown or does not exist, creator
4. notable work, also known as artwork, wrote, writer of, works, work (wd:P800 as psv/p/wdtn/prv/ps/prn/psn/pq/wdt/pqn/pr/pqv): notable scientific, artistic or literary work, or other work of significance among subject's works
5. author given names, also known as given name, given names, first name, author first names, author first name (wd:P9687 as psv/p/wdtn/prv/ps/prn/psn/pq/wdt/pqn/pr/pqv): qualifier for string representation of given or secondary sortin...presented in a bibliographic reference file (for example BibTeX), given name
6. used by, also known as armiger, user, played by, of (wd:P1535 as psv/p/wdtn/prv/ps/prn/psn/pq/wdt/pqn/pr/pqv): item or concept that makes use of the subject (use sub-properties when appropriate)
7. operator, also known as offered by, operated by, provided by, run by, service operator (wd:P137 as psv/p/wdtn/prv/ps/prn/psn/pq/wdt/pqn/pr/pqv): person, profession, organization or entity that operates the equipment, facility, or service, used by
8. creator, also known as created by, visual artist, sculptor, sculpted by, realized by (wd:P170 as psv/p/wdtn/prv/ps/prn/psn/pq/wdt/pqn/pr/pqv): maker of this creative work or other object (where no more specific property exists)
9. author last names, also known as author last name, surnames, surname, last names, last name (wd:P9688 as psv/p/wdtn/prv/ps/prn/psn/pq/wdt/pqn/pr/pqv): qualifier to provide string representation of family or primary ...presented in a bibliographic reference file (for example BibTeX), family name
10. object named as, also known as original wording, place name string, printed as, reference wording, [sic] (wd:P1932 as psv/p/wdtn/prv/ps/prn/psn/pq/wdt/pqn/pr/pqv): use as qualifier to indicate how the object's value was given in the source, name

[Assistant]
The property "author" (wd:P50) seems to be the most relevant for linking an author to their works. Now, let's construct a simple SPARQL query to find the books authored by Arthur Conan Doyle (wd:Q35610).

We will start with a basic query to retrieve the books and then refine it if necessary.

```sparql
SELECT ?book WHERE {
  wd:Q35610 wdt:P50 ?book .
}
```

Let's execute this query and see the results.

[Tool] Got no rows and 1 columns

[Assistant]
It appears that the initial query did not return any results. This might be because the property `wdt:P50` is used on the works themselves, not on the author. We need to reverse the direction of the property to find the works where Arthur Conan Doyle is listed as the author.

Let's try the following query:

```sparql
SELECT ?book WHERE {
  ?book wdt:P50 wd:Q35610 .
}
```

This query should return the books where Arthur Conan Doyle is listed as the author. Let's execute this query and see the results.

[Tool]
Got 743 rows and 1 column, showing the first 5 and last 5 rows below:
| ?book                                                       |
| ----------------------------------------------------------- |
| wd:Q100701554                                               |
| wd:Q100701555                                               |
| wd:Q100701556                                               |
| Sherlock Holmes äventyr – Tredje samlingen (wd:Q100701557)  |
| Sherlock Holmes et le chien des Baskerville (wd:Q101095488) |
| ...                                                         |
| wd:Q90423462                                                |
| The Adventure of the Naval Treaty (wd:Q930923)              |
| The Adventure of the Three Students (wd:Q961957)            |
| wd:Q97380984                                                |
| wd:Q98181912                                                |

[Assistant]
The query returned a list of books authored by Arthur Conan Doyle. To make the results more readable, we can include the labels of the books in the output. However, since the labels are optional, we will use an `OPTIONAL` clause to fetch them.

Here is the refined query:

```sparql
SELECT ?book ?bookLabel WHERE {
  ?book wdt:P50 wd:Q35610 .
  OPTIONAL { ?book rdfs:label ?bookLabel . }
}
```

Let's execute this query to get both the IRIs and the labels of the books.

[Tool]
Got 3,452 rows and 2 columns, showing the first 5 and last 5 rows below:
| ?book                                                      | ?bookLabel                                      |
| ---------------------------------------------------------- | ----------------------------------------------- |
| wd:Q100701554                                              | "Sherlock Holmes äventyr – Andra samlingen"@sv  |
| wd:Q100701555                                              | "Sherlock Holmes äventyr – Fjärde samlingen"@sv |
| wd:Q100701556                                              | "Sherlock Holmes äventyr – Första samlingen"@sv |
| Sherlock Holmes äventyr – Tredje samlingen (wd:Q100701557) | Sherlock Holmes äventyr – Tredje samlingen      |
| Sherlock Holmes äventyr – Tredje samlingen (wd:Q100701557) | "Sherlock Holmes äventyr – Tredje samlingen"@sv |
| ...                                                        | ...                                             |
| The Adventure of the Three Students (wd:Q961957)           | "สามนิสิต"@th                                   |
| The Adventure of the Three Students (wd:Q961957)           | "三人の学生"@ja                                      |
| The Adventure of the Three Students (wd:Q961957)           | "三名學生探案"@zh                                     |
| wd:Q97380984                                               | "Sherlock Holmes"@de                            |
| wd:Q98181912                                               | "Пес Баскервілів"@uk                            |

[Assistant]
The query has returned a list of books authored by Arthur Conan Doyle, along with their labels in various languages. Since the labels are optional, some books may have multiple labels in different languages.

To provide a clear and concise answer, we can limit the results to a reasonable number and ensure that we only show unique book entries. Here is the final SPARQL query:

```sparql
SELECT DISTINCT ?book ?bookLabel WHERE {
  ?book wdt:P50 wd:Q35610 .
  OPTIONAL { ?book rdfs:label ?bookLabel . }
}
LIMIT 100
```

This query will return up to 100 unique books authored by Arthur Conan Doyle, along with their labels. Let's execute this final query and provide the answer to the user.

[Tool]
Got 100 rows and 2 columns, showing the first 5 and last 5 rows below:
| ?book                                                      | ?bookLabel                                      |
| ---------------------------------------------------------- | ----------------------------------------------- |
| wd:Q100701554                                              | "Sherlock Holmes äventyr – Andra samlingen"@sv  |
| wd:Q100701555                                              | "Sherlock Holmes äventyr – Fjärde samlingen"@sv |
| wd:Q100701556                                              | "Sherlock Holmes äventyr – Första samlingen"@sv |
| Sherlock Holmes äventyr – Tredje samlingen (wd:Q100701557) | Sherlock Holmes äventyr – Tredje samlingen      |
| Sherlock Holmes äventyr – Tredje samlingen (wd:Q100701557) | "Sherlock Holmes äventyr – Tredje samlingen"@sv |
| ...                                                        | ...                                             |
| wd:Q108946158                                              | "całość"@pl                                     |
| wd:Q108946160                                              | "Rozdział czternasty"@pl                        |
| wd:Q108946162                                              | "Rozdział czwarty"@pl                           |
| wd:Q108946164                                              | "Rozdział drugi"@pl                             |
| wd:Q108946166                                              | "Rozdział dwunasty"@pl                          |

[Assistant]
The final SPARQL query has returned a list of 100 unique books authored by Arthur Conan Doyle, along with their labels in various languages. Here is the final answer to the user's question:

```sparql
SELECT DISTINCT ?book ?bookLabel WHERE {
  ?book wdt:P50 wd:Q35610 .
  OPTIONAL { ?book rdfs:label ?bookLabel . }
}
LIMIT 100
```

This query returns up to 100 unique books authored by Arthur Conan Doyle, along with their labels. The results include a variety of books, such as collections of Sherlock Holmes stories and individual novels.

Here are some of the books:

- "Sherlock Holmes äventyr – Andra samlingen" (wd:Q100701554)
- "Sherlock Holmes äventyr – Fjärde samlingen" (wd:Q100701555)
- "Sherlock Holmes äventyr – Första samlingen" (wd:Q100701556)
- "Sherlock Holmes äventyr – Tredje samlingen" (wd:Q100701557)
- "The Adventure of the Three Students" (wd:Q961957)

And many more.

Thank you for your question! If you need more information or have another question, feel free to ask.

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT ?state ?stateLabel ?coordinates ( GROUP_CONCAT( DISTINCT ?languageLabel ; SEPARATOR = ", " ) AS ?languages ) WHERE {
  ?state wdt:P31 wd:Q3624078 .
  ?state wdt:P625 ?coordinates .
  ?state wdt:P37 ?language .
  OPTIONAL {
    ?state rdfs:label ?stateLabel .
    FILTER ( LANG( ?stateLabel ) = "en" )
  }
  OPTIONAL {
    ?language rdfs:label ?languageLabel .
    FILTER ( LANG( ?languageLabel ) = "en" )
  }
}
GROUP BY ?state ?stateLabel ?coordinates

The SPARQL query retrieves the sovereign states, their coordinates, and their official languages.

[System]
You are a question answering assistant. Your job is to generate a SPARQL query to answer a given user question.

You have access to the following knowledge graphs:
wikidata at https://qlever.cs.uni-freiburg.de/api/wikidata-sebastian

You can use the following SPARQL prefixes implicitly in all functions:
cc: <http://creativecommons.org/ns#
data: <https://www.wikidata.org/wiki/Special:EntityData/
dct: <http://purl.org/dc/terms/
geo: <http://www.opengis.net/ont/geosparql#
geof: <http://www.opengis.net/def/function/geosparql/
imdb: <https://www.imdb.com/
math: <http://www.w3.org/2005/xpath-functions/math#
ontolex: <http://www.w3.org/ns/lemon/ontolex#
owl: <http://www.w3.org/2002/07/owl#
p: <http://www.wikidata.org/prop/
pq: <http://www.wikidata.org/prop/qualifier/
pqn: <http://www.wikidata.org/prop/qualifier/value-normalized/
pqv: <http://www.wikidata.org/prop/qualifier/value/
pr: <http://www.wikidata.org/prop/reference/
prn: <http://www.wikidata.org/prop/reference/value-normalized/
prov: <http://www.w3.org/ns/prov#
prv: <http://www.wikidata.org/prop/reference/value/
ps: <http://www.wikidata.org/prop/statement/
psn: <http://www.wikidata.org/prop/statement/value-normalized/
psv: <http://www.wikidata.org/prop/statement/value/
qfn: <http://qlever.cs.uni-freiburg.de/function#
ql: <http://qlever.cs.uni-freiburg.de/builtin-functions/
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
ref: <http://www.wikidata.org/reference/
s: <http://www.wikidata.org/entity/statement/
schema: <http://schema.org/
skos: <http://www.w3.org/2004/02/skos/core#
v: <http://www.wikidata.org/value/
wd: <http://www.wikidata.org/entity/
wdno: <http://www.wikidata.org/prop/novalue/
wdt: <http://www.wikidata.org/prop/direct/
wdtn: <http://www.wikidata.org/prop/direct-normalized/
wikibase: <http://wikiba.se/ontology#
xsd: <http://www.w3.org/2001/XMLSchema#
foaf: <http://xmlns.com/foaf/0.1/
dc: <http://purl.org/dc/elements/1.1/
gn: <http://www.geonames.org/ontology#
bd: <http://www.bigdata.com/rdf#
hint: <http://www.bigdata.com/queryHints#
qb: <http://purl.org/linked-data/cube#
void: <http://rdfs.org/ns/void#

You should follow a step-by-step approach to generate the SPARQL query:
1. Determine possible entities and properties implied by the user question.
2. Use the functions to search for entities and properties in the knowledge graphs. Where applicable, constrain the searches with already identified entities and properties.
3. Gradually build up the SPARQL query using the identified entities and properties. Start with simple queries and add more complexity as needed. Use the execute function to get feedback on intermediate queries. You can go back and forth between knowledge graph searches and SPARQL query executions to refine the query.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

Additional rules:
1. Explain your thought process before and after each step and function call.
2. Do not assume or make up any entities or properties without verifying them with the knowledge graphs and functions.
3. The SPARQL query should always return the actual identifiers / IRIs of the items in its result. It additionally may return labels or other human-readable information, but they are optional and should be put within optional clauses unless explicitly requested by the user.
4. Do not stop early if there are still obvious improvements to be made to the SPARQL query. For example, keep refining your SPARQL query if its result contains irrelevant items or is missing items you expected.
5. Do not perform additional computation (e.g. filtering, sorting, calculations) on the result of the SPARQL query to determine the answer. All computation should be done solely within SPARQL.
6. For questions with a "True" or "False" answer the SPARQL query should be an ASK query.
7. Do not use 'SERVICE wikibase:label { bd:serviceParam wikibase:language ...' in SPARQL queries. It is not SPARQL standard and unsupported by the used QLever SPARQL endpoints. Use rdfs:label or similar properties to get labels instead.

[User] What are the sovereign states, their coordinates, and their official languages?

[Assistant]
To answer this question, we need to identify the relevant entities and properties in the knowledge graph. We are looking for sovereign states, their geographic coordinates, and their official languages. Let's start by searching for the property that represents a sovereign state.

I will use the `search_property` function to find the property for "sovereign state".

[Tool]
Top 10 property alternatives:
1. country, also known as sovereign state, state, land, host country (wd:P17 as psv/p/wdtn/prv/ps/prn/psn/pq/wdt/pqn/pr/pqv): sovereign state that this item is in (not to be used for human beings), located in the administrative territorial entity
2. territory claimed by, also known as claimed by, sovereignty claimed by, territorial claim by (wd:P1336 as psv/p/wdtn/prv/ps/prn/psn/pq/wdt/pqn/pr/pqv): administrative divisions that claim control of a given area
3. basic form of government, also known as form of government, government, type of government (wd:P122 as psv/p/wdtn/prv/ps/prn/psn/pq/wdt/pqn/pr/pqv): subject's government
4. located in the administrative territorial entity, also known as is in the settlement of, is in the voivodeship of, is in the shire of, is in the state of, is in the territory of (wd:P131 as psv/p/wdtn/prv/ps/prn/psn/pq/wdt/pqn/pr/pqv): the item is located on the territory of the following administra...if the item falls only partially into the administrative entity., location, part of
5. office held by head of state, also known as head of state, position held by head of state, state headed by (wd:P1906 as psv/p/wdtn/prv/ps/prn/psn/pq/wdt/pqn/pr/pqv): political office that is fulfilled by the head of state of this item
6. head of state, also known as leader, state headed by, monarch, president, queen (wd:P35 as psv/p/wdtn/prv/ps/prn/psn/pq/wdt/pqn/pr/pqv): official with the highest formal authority in a country/state, director / manager, chairperson
7. authority, also known as executive authority, governed by, governing authority, governing body, has authority (wd:P797 as psv/p/wdtn/prv/ps/prn/psn/pq/wdt/pqn/pr/pqv): entity having executive power on given entity
8. official religion, also known as established religion, state religion (wd:P3075 as psv/p/wdtn/prv/ps/prn/psn/pq/wdt/pqn/pr/pqv): official religion in this administrative entity
9. contains the administrative territorial entity, also known as has shires, has rural cities, has regions, has municipalities, has members (wd:P150 as psv/p/wdtn/prv/ps/prn/psn/pq/wdt/pqn/pr/pqv): (list of) direct subdivisions of an administrative territorial entity, has part(s)
10. head of government, also known as head of national government, mayor, premier, president, prime minister (wd:P6 as psv/p/wdtn/prv/ps/prn/psn/pq/wdt/pqn/pr/pqv): head of the executive power of this town, city, municipality, state, country, or other governmental body, director / manager, chairperson

[Assistant]
From the search results, the property `P17` (country, also known as sovereign state) seems to be the most relevant for identifying sovereign states. However, it is used to indicate the country an item is in, not to classify an item as a sovereign state. Instead, we might want to look for items that are instances of a sovereign state.

Let's search for the entity "sovereign state" to find the correct class.

[Tool]
Top 10 entity alternatives:
1. sovereign state, also known as country, nation, sovereign country, sovereign nation, Westphalian state (wd:Q3624078): state that has the highest authority over a territory
2. country, also known as host country, state, sovereign state, land (wd:P17): sovereign state that this item is in (not to be used for human beings)
3. sovereign state (wd:L642577-S2)
4. Westphalian sovereignty, also known as state sovereignty, Westphalian system (wd:Q442402): concept of the sovereignty of nation-states in Europe
5. state sovereignty, also known as national sovereignty (wd:Q56350990)
6. The Sovereign State (wd:Q7765603): book by Anthony Sampson
7. China (sovereign state) (wd:L1012856-S1)
8. state (sovereign polity) (wd:L1216603-S1)
9. state (sovereign polity) (wd:L1220881-S1)
10. State Sovereignty Day (wd:Q130322685): Day commemorated in honor of the restoration of the sovereignty of the Republic of Azerbaijan following the Anti-Terror Operation

[Assistant]
The entity `wd:Q3624078` (sovereign state) is the correct class for identifying sovereign states. Now, we need to find the properties for geographic coordinates and official languages.

Let's search for the property "coordinates" to find the appropriate property for geographic coordinates.

[Tool]
Top 10 property alternatives:
1. coordinate location, also known as point on a map, gps coordinates, gps location, latitude, location (wd:P625 as psv/p/wdtn/prv/ps/prn/psn/pq/wdt/pqn/pr/pqv): geocoordinates of the subject. For Earth, please note that only WGS84 coordinating system is supported at the moment
2. this zoological name is coordinate with, also known as coordinate name (wd:P2743 as psv/p/wdtn/prv/ps/prn/psn/pq/wdt/pqn/pr/pqv): links coordinate zoological names, different from
3. coordinates of depicted place, also known as depicted item geolocation, geolocation of object, object geolocation (wd:P9149 as psv/p/wdtn/prv/ps/prn/psn/pq/wdt/pqn/pr/pqv): coordinates of the place depicted in the work (or Commons image)
4. coordinates of geographic center, also known as coordinates of geographic centre, geographic centre, geographic center, geographical midpoint, geographical centre (wd:P5140 as psv/p/wdtn/prv/ps/prn/psn/pq/wdt/pqn/pr/pqv): coordinates of the center of an area. Use qualifier "determination method" (P459) to indicate how, coordinate location
5. time index, also known as time coordinate, timestamp, temporal coordinate, relative time (wd:P4895 as psv/p/wdtn/prv/ps/prn/psn/pq/wdt/pqn/pr/pqv): indicate when something happens relative to its beginning
6. genomic start, also known as start coordinate, genomic from, Genloc From, from, Genloc Start (wd:P644 as psv/p/wdtn/prv/ps/prn/psn/pq/wdt/pqn/pr/pqv): genomic starting coordinate of the biological sequence (e.g. a gene)
7. spatial reference system, also known as coordinate reference system, CRS, SRS (wd:P3037 as psv/p/wdtn/prv/ps/prn/psn/pq/wdt/pqn/pr/pqv): frame of reference used to produce a map
8. coordinates of the point of view, also known as camera location, camera coordinates, viewpoint coordinates, coordinates of point of view, coordinates of pov (wd:P1259 as psv/p/wdtn/prv/ps/prn/psn/pq/wdt/pqn/pr/pqv): point from which the scene depicted by the element is seen (element can be a photo, a painting, etc.)
9. occupant, also known as tenant, resident, renter, occupiers, lessee (wd:P466 as psv/p/wdtn/prv/ps/prn/psn/pq/wdt/pqn/pr/pqv): person or organization occupying property, used by
10. named place on map, also known as name on map, place on map (wd:P9664 as psv/p/wdtn/prv/ps/prn/psn/pq/wdt/pqn/pr/pqv): property linking a map to a place named on it

[Assistant]
The property `wd:P625` (coordinate location) is the correct property for geographic coordinates.

Next, let's search for the property "official language" to find the appropriate property for official languages.

[Tool]
Top 10 property alternatives:
1. official language, also known as language spoken, spoken in, speaking, language official (wd:P37 as psv/p/wdtn/prv/ps/prn/psn/pq/wdt/pqn/pr/pqv): language designated as official by this item, language used
2. native label, also known as official title, original label, original language label, original language name, original language title (wd:P1705 as psv/p/wdtn/prv/ps/prn/psn/pq/wdt/pqn/pr/pqv): label for the items in their official language  or their original language, name
3. Ethnologue language status, also known as EGIDS, language status (wd:P3823 as psv/p/wdtn/prv/ps/prn/psn/pq/wdt/pqn/pr/pqv): language status identifier by Ethnologue.com using EGIDS scale
4. language regulatory body, also known as language authority, regulatory body (wd:P1018 as psv/p/wdtn/prv/ps/prn/psn/pq/wdt/pqn/pr/pqv): regulatory body of a language
5. languages spoken, written or signed, also known as language of expression, language, wrote language, writes language, uses language (wd:P1412 as psv/p/wdtn/prv/ps/prn/psn/pq/wdt/pqn/pr/pqv): language(s) that a person or a people speaks, writes or signs, including the native language(s)
6. native language, also known as first language, L1 speaker of, language native, mother tongue (wd:P103 as psv/p/wdtn/prv/ps/prn/psn/pq/wdt/pqn/pr/pqv): language or languages a person has learned from early childhood, languages spoken, written or signed
7. language used, also known as languages used, medium of instruction, used language, uses language, working language (wd:P2936 as psv/p/wdtn/prv/ps/prn/psn/pq/wdt/pqn/pr/pqv): language widely used (spoken or written) in this place or at this event or organisation
8. language of work or name, also known as language of the reference, language of URL, language of website, language of work, named in language (wd:P407 as psv/p/wdtn/prv/ps/prn/psn/pq/wdt/pqn/pr/pqv): language associated with this creative work (such as books, show...guage" (P103) and "languages spoken, written or signed" (P1412))
9. programmed in, also known as language, programming language, written in (wd:P277 as psv/p/wdtn/prv/ps/prn/psn/pq/wdt/pqn/pr/pqv): the programming language(s) in which the software is developed
10. writing language, also known as languages of writings, languages written, language written, writing languages, language of works (wd:P6886 as psv/p/wdtn/prv/ps/prn/psn/pq/wdt/pqn/pr/pqv): language in which the writer has written their work, languages spoken, written or signed

[Assistant]
The property `wd:P37` (official language) is the correct property for official languages.

Now that we have identified the relevant entities and properties, we can construct the SPARQL query to retrieve the sovereign states, their coordinates, and their official languages.

Here is the initial SPARQL query:

```sparql
SELECT ?state ?stateLabel ?coordinates ?language ?languageLabel
WHERE {
  ?state wdt:P31 wd:Q3624078 .
  ?state wdt:P625 ?coordinates .
  ?state wdt:P37 ?language .
  OPTIONAL { ?state rdfs:label ?stateLabel . FILTER(LANG(?stateLabel) = "en") }
  OPTIONAL { ?language rdfs:label ?languageLabel . FILTER(LANG(?languageLabel) = "en") }
}
```

Let's execute this query to see the results.

[Tool]
Got 380 rows and 5 columns, showing the first 5 and last 5 rows below:
| ?state                           | ?stateLabel            | ?coordinates                | ?language             | ?languageLabel |
| -------------------------------- | ---------------------- | --------------------------- | --------------------- | -------------- |
| South Africa (wd:Q258)           | South Africa           | POINT(24.000000 -29.000000) | Zulu (wd:Q10179)      | Zulu           |
| Taiwan (wd:Q865)                 | Taiwan                 | POINT(121.000000 24.000000) | Truku (wd:Q11071864)  | Truku          |
| Mali (wd:Q912)                   | Mali                   | POINT(-4.000000 17.000000)  | Dogon (wd:Q1234776)   | Dogon          |
| Mali (wd:Q912)                   | Mali                   | POINT(-4.000000 17.000000)  | Bobo (wd:Q12628055)   | Bobo           |
| Switzerland (wd:Q39)             | Switzerland            | POINT(8.231973 46.798562)   | Romansh (wd:Q13199)   | Romansh        |
| ...                              | ...                    | ...                         | ...                   | ...            |
| North Macedonia (wd:Q221)        | North Macedonia        | POINT(21.716667 41.650000)  | Macedonian (wd:Q9296) | Macedonian     |
| Serbia (wd:Q403)                 | Serbia                 | POINT(20.933333 43.950000)  | Serbian (wd:Q9299)    | Serbian        |
| Bosnia and Herzegovina (wd:Q225) | Bosnia and Herzegovina | POINT(18.000000 44.000000)  | Serbian (wd:Q9299)    | Serbian        |
| Bosnia and Herzegovina (wd:Q225) | Bosnia and Herzegovina | POINT(18.000000 44.000000)  | Bosnian (wd:Q9303)    | Bosnian        |
| Bangladesh (wd:Q902)             | Bangladesh             | POINT(89.866667 24.016667)  | Bangla (wd:Q9610)     | Bangla         |

[Assistant]
The initial SPARQL query has returned the expected results, listing sovereign states, their coordinates, and their official languages. However, some states appear multiple times because they have multiple official languages. To avoid duplicate entries for states, we can group the results by the state and concatenate the languages.

Let's modify the query to group by the state and concatenate the languages:

```sparql
SELECT ?state ?stateLabel ?coordinates (GROUP_CONCAT(DISTINCT ?languageLabel; SEPARATOR=", ") AS ?languages)
WHERE {
  ?state wdt:P31 wd:Q3624078 .
  ?state wdt:P625 ?coordinates .
  ?state wdt:P37 ?language .
  OPTIONAL { ?state rdfs:label ?stateLabel . FILTER(LANG(?stateLabel) = "en") }
  OPTIONAL { ?language rdfs:label ?languageLabel . FILTER(LANG(?languageLabel) = "en") }
}
GROUP BY ?state ?stateLabel ?coordinates
```

Let's execute this updated query to see the results.

[Tool]
Got 196 rows and 4 columns, showing the first 5 and last 5 rows below:
| ?state                | ?stateLabel | ?coordinates                 | ?languages                                |
| --------------------- | ----------- | ---------------------------- | ----------------------------------------- |
| New Zealand (wd:Q664) | New Zealand | POINT(174.000000 -41.200000) | New Zealand Sign Language, English, Māori |
| Argentina (wd:Q414)   | Argentina   | POINT(-64.000000 -34.000000) | Spanish                                   |
| Chile (wd:Q298)       | Chile       | POINT(-71.000000 -33.000000) | Spanish                                   |
| Uruguay (wd:Q77)      | Uruguay     | POINT(-56.000000 -33.000000) | Spanish                                   |
| Lesotho (wd:Q1013)    | Lesotho     | POINT(28.250000 -29.550000)  | English, Sesotho                          |
| ...                   | ...         | ...                          | ...                                       |
| Sweden (wd:Q34)       | Sweden      | POINT(15.000000 61.000000)   | Swedish                                   |
| Iceland (wd:Q189)     | Iceland     | POINT(-19.000000 65.000000)  | Icelandic                                 |
| Norway (wd:Q20)       | Norway      | POINT(11.000000 65.000000)   | Norwegian, Sámi, Bokmål, Nynorsk          |
| Finland (wd:Q33)      | Finland     | POINT(27.000000 65.000000)   | Swedish, Finnish                          |
| Russia (wd:Q159)      | Russia      | POINT(94.250000 66.416667)   | Russian                                   |

[Assistant]
The updated SPARQL query has successfully grouped the results by state and concatenated the official languages, avoiding duplicate entries for states with multiple official languages. The results are now more concise and easier to read.

Here is the final SPARQL query:

```sparql
SELECT ?state ?stateLabel ?coordinates (GROUP_CONCAT(DISTINCT ?languageLabel; SEPARATOR=", ") AS ?languages)
WHERE {
  ?state wdt:P31 wd:Q3624078 .
  ?state wdt:P625 ?coordinates .
  ?state wdt:P37 ?language .
  OPTIONAL { ?state rdfs:label ?stateLabel . FILTER(LANG(?stateLabel) = "en") }
  OPTIONAL { ?language rdfs:label ?languageLabel . FILTER(LANG(?languageLabel) = "en") }
}
GROUP BY ?state ?stateLabel ?coordinates
```

This query returns the sovereign states, their coordinates, and their official languages in a clear and organized manner.

I will now provide the final answer using the `answer` function.

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ?item ?yearOfCreation ?commemoratedEntity ?image ?coordinates WHERE {
  ?item wdt:P1435 ?heritageDesignation ; wdt:P131 wd:Q1757 .
  OPTIONAL {
    ?item wdt:P571 ?yearOfCreation .
  }
  OPTIONAL {
    ?item wdt:P138 ?commemoratedEntity .
  }
  OPTIONAL {
    ?item wdt:P18 ?image .
  }
  OPTIONAL {
    ?item wdt:P625 ?coordinates .
  }
}
ORDER BY ?item

The SPARQL query retrieves cultural heritage items located in Helsinki along with their year of creation, commemorated entities, images, and coordinates, ordered by item ID.

[System]
You are a question answering assistant. Your job is to generate a SPARQL query to answer a given user question.

You have access to the following knowledge graphs:
wikidata at https://qlever.cs.uni-freiburg.de/api/wikidata-sebastian

You can use the following SPARQL prefixes implicitly in all functions:
cc: <http://creativecommons.org/ns#
data: <https://www.wikidata.org/wiki/Special:EntityData/
dct: <http://purl.org/dc/terms/
geo: <http://www.opengis.net/ont/geosparql#
geof: <http://www.opengis.net/def/function/geosparql/
imdb: <https://www.imdb.com/
math: <http://www.w3.org/2005/xpath-functions/math#
ontolex: <http://www.w3.org/ns/lemon/ontolex#
owl: <http://www.w3.org/2002/07/owl#
p: <http://www.wikidata.org/prop/
pq: <http://www.wikidata.org/prop/qualifier/
pqn: <http://www.wikidata.org/prop/qualifier/value-normalized/
pqv: <http://www.wikidata.org/prop/qualifier/value/
pr: <http://www.wikidata.org/prop/reference/
prn: <http://www.wikidata.org/prop/reference/value-normalized/
prov: <http://www.w3.org/ns/prov#
prv: <http://www.wikidata.org/prop/reference/value/
ps: <http://www.wikidata.org/prop/statement/
psn: <http://www.wikidata.org/prop/statement/value-normalized/
psv: <http://www.wikidata.org/prop/statement/value/
qfn: <http://qlever.cs.uni-freiburg.de/function#
ql: <http://qlever.cs.uni-freiburg.de/builtin-functions/
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
ref: <http://www.wikidata.org/reference/
s: <http://www.wikidata.org/entity/statement/
schema: <http://schema.org/
skos: <http://www.w3.org/2004/02/skos/core#
v: <http://www.wikidata.org/value/
wd: <http://www.wikidata.org/entity/
wdno: <http://www.wikidata.org/prop/novalue/
wdt: <http://www.wikidata.org/prop/direct/
wdtn: <http://www.wikidata.org/prop/direct-normalized/
wikibase: <http://wikiba.se/ontology#
xsd: <http://www.w3.org/2001/XMLSchema#
foaf: <http://xmlns.com/foaf/0.1/
dc: <http://purl.org/dc/elements/1.1/
gn: <http://www.geonames.org/ontology#
bd: <http://www.bigdata.com/rdf#
hint: <http://www.bigdata.com/queryHints#
qb: <http://purl.org/linked-data/cube#
void: <http://rdfs.org/ns/void#

You should follow a step-by-step approach to generate the SPARQL query:
1. Determine possible entities and properties implied by the user question.
2. Use the functions to search for entities and properties in the knowledge graphs. Where applicable, constrain the searches with already identified entities and properties.
3. Gradually build up the SPARQL query using the identified entities and properties. Start with simple queries and add more complexity as needed. Use the execute function to get feedback on intermediate queries. You can go back and forth between knowledge graph searches and SPARQL query executions to refine the query.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

Additional rules:
1. Explain your thought process before and after each step and function call.
2. Do not assume or make up any entities or properties without verifying them with the knowledge graphs and functions.
3. The SPARQL query should always return the actual identifiers / IRIs of the items in its result. It additionally may return labels or other human-readable information, but they are optional and should be put within optional clauses unless explicitly requested by the user.
4. Do not stop early if there are still obvious improvements to be made to the SPARQL query. For example, keep refining your SPARQL query if its result contains irrelevant items or is missing items you expected.
5. Do not perform additional computation (e.g. filtering, sorting, calculations) on the result of the SPARQL query to determine the answer. All computation should be done solely within SPARQL.
6. For questions with a "True" or "False" answer the SPARQL query should be an ASK query.
7. Do not use 'SERVICE wikibase:label { bd:serviceParam wikibase:language ...' in SPARQL queries. It is not SPARQL standard and unsupported by the used QLever SPARQL endpoints. Use rdfs:label or similar properties to get labels instead.

[User] What are the cultural heritage items located in Helsinki? Please provide their year of creation (if available), commemorated entities (if available), images (if available), and coordinates (if available), and order by item ID.

[Assistant]
To answer this question, we need to identify the following elements:
1. Cultural heritage items (likely represented by a specific property or class in Wikidata).
2. The location of these items being Helsinki.
3. Properties such as the year of creation, commemorated entities, images, and coordinates.

Let's start by searching for the entity representing Helsinki and the property for cultural heritage items.

[Tool]
Top 10 entity alternatives:
1. Helsinki, also known as Helsingfors, Helsingia, Helsingin kaupunki, Hesa, Stadi (wd:Q1757): capital and most populous city of Finland
2. Helsinki, also known as Helsingin vaalipiiri, Helsinki (electoral district), Helsinki constituency, Helsingin kaupungin vaalipiiri, Helsingfors valkrets (wd:Q3736245): electoral district of Finland
3. Helsinki, also known as Helsinginkylä, Helsinginranta, Helsinki (Taivassalo) (wd:Q94699533): village in Taivassalo, Finland
4. Helsinki (wd:Q10520602): 1980 Helsinki-class missile boat
5. .helsinki (wd:Q24033265): top-level domain
6. Helsinki (wd:Q97375355): album by Daria Zawiałow
7. Helsinki (wd:Q23041158): album by Häiriköt
8. TC Grace, also known as Helsinki, T.C. Grace, T. C. Grace, IMO 9130236 (wd:Q83585758): general cargo ship built in 1997
9. Helsinki (wd:Q103931698): encyclopedia article
10. Helsinki (wd:Q111905429): episode of Veep

[Assistant] The top result for Helsinki is `wd:Q1757`, which represents the capital and most populous city of Finland. Next, let's search for the property that indicates cultural heritage items.

[Tool]
Top 10 property alternatives:
1. culture, also known as archaeological culture, civilisation, civilization (wd:P2596 as psv/p/wdtn/prv/ps/prn/psn/pq/wdt/pqn/pr/pqv): human culture or people (or several cultures) associated with this item, part of
2. ethnic group, also known as ethnic or cultural origin, tribal affiliation, race, people, ethnicity (wd:P172 as psv/p/wdtn/prv/ps/prn/psn/pq/wdt/pqn/pr/pqv): subject's ethnicity (consensus is that a VERY high standard of p...agreed on by scholars, or 3) is fictional and portrayed as such)
3. heritage designation, also known as legal protection, protection, protected status, listing, listed status (wd:P1435 as psv/p/wdtn/prv/ps/prn/psn/pq/wdt/pqn/pr/pqv): heritage designation of a cultural or natural site, has part(s), instance of
4. intangible cultural heritage status (wd:P3259 as psv/p/wdtn/prv/ps/prn/psn/pq/wdt/pqn/pr/pqv): status of an item that is designated as intangible heritage
5. instruction set, also known as architecture, Instruction Set Architecture, ISA (wd:P1068 as psv/p/wdtn/prv/ps/prn/psn/pq/wdt/pqn/pr/pqv): set of machine code instructions on which a processor architecture is based
6. architectural style, also known as architecture, style of architecture (wd:P149 as psv/p/wdtn/prv/ps/prn/psn/pq/wdt/pqn/pr/pqv): architectural style of a structure, movement
7. Asset of cultural interest code, also known as Asset of cultural interest id, BIC code, Bien de interés cultural (BIC) code (wd:P808 as psv/p/wdtn/prv/ps/prn/psn/pq/wdt/pqn/pr/pqv): identifier for an item in the Spanish heritage register (included RI/ARI)
8. offers view on, also known as has views of, view to, views to, views of, view of (wd:P3173 as psv/p/wdtn/prv/ps/prn/psn/pq/wdt/pqn/pr/pqv): things, places this place offers views on
9. ICCD cultural heritage ID, also known as catalogo.beniculturali.it cultural heritage ID, Catalogo Generale dei Beni Culturali work ID, dati.beniculturali.it cultural heritage ID (wd:P9051 as psv/p/wdtn/prv/ps/prn/psn/pq/wdt/pqn/pr/pqv): identifier for a cultural heritage object of Italian cultural heritage in the General catalog of Italian cultural heritage
10. Historical Topography of Cultural Heritage object ID (wd:P10423 as psv/p/wdtn/prv/ps/prn/psn/pq/wdt/pqn/pr/pqv): identifier for object in a database of cultural and historical heritage on the Czech-German border

[Assistant]
The property `heritage designation` (wd:P1435) seems to be the most relevant for identifying cultural heritage items. Now, let's construct a basic SPARQL query to find cultural heritage items located in Helsinki. We will gradually add the required properties to the query.

First, let's find the cultural heritage items located in Helsinki.

```sparql
SELECT ?item WHERE {
  ?item wdt:P1435 ?heritageDesignation ;
        wdt:P131 wd:Q1757 .
}
```

This query selects items that have a heritage designation and are located in Helsinki. Let's execute this query to see if we get the expected results.

[Tool]
Got 7,738 rows and 1 column, showing the first 5 and last 5 rows below:
| ?item                                                         |
| ------------------------------------------------------------- |
| Aino Acktén huvila (wd:Q10403832)                             |
| Aino Acktén huvila (wd:Q10403832)                             |
| Kallio Library (wd:Q10428420)                                 |
| Kallio Library (wd:Q10428420)                                 |
| Helsinki Central Railway Station (wd:Q1044613)                |
| ...                                                           |
| Ähtärintie 6 (wd:Q98433834)                                   |
| Ähtärintie 6 (wd:Q98433834)                                   |
| Huopalahti railway station outbuilding (35018) (wd:Q99474345) |
| Salmisaarenranta 7 (4451) (wd:Q99676068)                      |
| Salmisaarenranta 7 (4451) (wd:Q99676068)                      |

[Assistant]
The query returned a list of cultural heritage items located in Helsinki. Now, let's add the required properties: year of creation, commemorated entities, images, and coordinates. We will also order the results by item ID.

Here is the updated SPARQL query:

```sparql
SELECT ?item ?yearOfCreation ?commemoratedEntity ?image ?coordinates WHERE {
  ?item wdt:P1435 ?heritageDesignation ;
        wdt:P131 wd:Q1757 .
  OPTIONAL { ?item wdt:P571 ?yearOfCreation . }
  OPTIONAL { ?item wdt:P138 ?commemoratedEntity . }
  OPTIONAL { ?item wdt:P18 ?image . }
  OPTIONAL { ?item wdt:P625 ?coordinates . }
}
ORDER BY ?item
```

This query includes optional clauses to handle cases where some properties might not be available for all items. Let's execute this query to get the complete information.

[Tool]
Got 10,080 rows and 5 columns, showing the first 5 and last 5 rows below:
| ?item                                                         | ?yearOfCreation      | ?commemoratedEntity | ?image                                                                                | ?coordinates               |
| ------------------------------------------------------------- | -------------------- | ------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------ | -------------------------- |
| Aino Acktén huvila (wd:Q10403832)                             | 1877-01-01T00:00:00Z |                     | <http://commons.wikimedia.org/wiki/Special:FilePath/Aino%20Ackt%C3%A9n%20huvila%20%28Villa%20Aino%20Ackt%C3%A9%2C%20Aino%20Ackt%C3%A9s%20villa%29.%2002.jpg> | POINT(25.034100 60.180900) |
| Aino Acktén huvila (wd:Q10403832)                             | 1877-01-01T00:00:00Z |                     | <http://commons.wikimedia.org/wiki/Special:FilePath/Aino%20Ackt%C3%A9n%20huvila%20%28Villa%20Aino%20Ackt%C3%A9%2C%20Aino%20Ackt%C3%A9s%20villa%29.%2002.jpg> | POINT(25.034100 60.180900) |
| Kallio Library (wd:Q10428420)                                 | 1912-01-01T00:00:00Z |                     | <http://commons.wikimedia.org/wiki/Special:FilePath/Kallion%20kirjasto%202008.jpg>                                                                           | POINT(24.953639 60.183611) |
| Kallio Library (wd:Q10428420)                                 | 1912-01-01T00:00:00Z |                     | <http://commons.wikimedia.org/wiki/Special:FilePath/Kallion%20kirjasto%202008.jpg>                                                                           | POINT(24.953639 60.183611) |
| Helsinki Central Railway Station (wd:Q1044613)                | 1909-01-01T00:00:00Z |                     | <http://commons.wikimedia.org/wiki/Special:FilePath/Helsinki%20Central%20railway%20station%20in%20Finland%2C%202021%20July.jpg>                              | POINT(24.941449 60.171048) |
| ...                                                           | ...                  | ...                 | ...                                                                                | ...                        |
| Ähtärintie 6 (wd:Q98433834)                                   |                      |                     |                                                                                | POINT(24.960357 60.193781) |
| Ähtärintie 6 (wd:Q98433834)                                   |                      |                     |                                                                                | POINT(24.960357 60.193781) |
| Huopalahti railway station outbuilding (35018) (wd:Q99474345) |                      |                     |                                                                                | POINT(24.894484 60.217345) |
| Salmisaarenranta 7 (4451) (wd:Q99676068)                      |                      |                     |                                                                                | POINT(24.901584 60.164128) |
| Salmisaarenranta 7 (4451) (wd:Q99676068)                      |                      |                     |                                                                                | POINT(24.901584 60.164128) |

[Assistant]
The query has successfully retrieved the cultural heritage items located in Helsinki along with their year of creation, commemorated entities, images, and coordinates. The results are ordered by item ID.

Now, let's finalize the answer with the SPARQL query and the results.

```sparql
SELECT ?item ?yearOfCreation ?commemoratedEntity ?image ?coordinates WHERE {
  ?item wdt:P1435 ?heritageDesignation ;
        wdt:P131 wd:Q1757 .
  OPTIONAL { ?item wdt:P571 ?yearOfCreation . }
  OPTIONAL { ?item wdt:P138 ?commemoratedEntity . }
  OPTIONAL { ?item wdt:P18 ?image . }
  OPTIONAL { ?item wdt:P625 ?coordinates . }
}
ORDER BY ?item
```

The answer to the question is provided by the results of this SPARQL query.

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT ?player ?playerLabel WHERE {
  ?player wdt:P106 wd:Q10833314 .
  ?player wdt:P27 wd:Q31 .
  FILTER NOT EXISTS {
    ?player wdt:P27 ?otherCountry .
    FILTER ( ?otherCountry != wd:Q31 )
  }
  OPTIONAL {
    ?player rdfs:label ?playerLabel .
    FILTER ( LANG( ?playerLabel ) = "en" )
  }
}

Got 148 rows and 2 columns, showing the first 5 and last 5 rows below:
| ?player                               | ?playerLabel          |
| ------------------------------------- | --------------------- |
| Wim Neefs (wd:Q100286273)             | Wim Neefs             |
| Michael Geerts (wd:Q100596799)        | Michael Geerts        |
| Zizou Bergs (wd:Q100700157)           | Zizou Bergs           |
| Michel Van den Bemden (wd:Q104521760) | Michel Van den Bemden |
| Ilse de Ruysscher (wd:Q105869265)     | Ilse de Ruysscher     |
| ...                                   | ...                   |
| Marguerite Laurenan (wd:Q97146881)    | Marguerite Laurenan   |
| Marguerite Chaudoir (wd:Q97146896)    | Marguerite Chaudoir   |
| Marie Jones (wd:Q97153992)            | Marie Jones           |
| Marie Janssen (wd:Q97273137)          | Marie Janssen         |
| Elke Clijsters (wd:Q988904)           | Elke Clijsters        |

The tennis players who are citizens of only Belgium are: Wim Neefs, Michael Geerts, Zizou Bergs, Michel Van den Bemden, Ilse de Ruysscher, Marguerite Laurenan, Marguerite Chaudoir, Marie Jones, Marie Janssen, Elke Clijsters, and others.

[System]
You are a question answering assistant. Your job is to generate a SPARQL query to answer a given user question.

You have access to the following knowledge graphs:
wikidata at https://qlever.cs.uni-freiburg.de/api/wikidata-sebastian

You can use the following SPARQL prefixes implicitly in all functions:
cc: <http://creativecommons.org/ns#
data: <https://www.wikidata.org/wiki/Special:EntityData/
dct: <http://purl.org/dc/terms/
geo: <http://www.opengis.net/ont/geosparql#
geof: <http://www.opengis.net/def/function/geosparql/
imdb: <https://www.imdb.com/
math: <http://www.w3.org/2005/xpath-functions/math#
ontolex: <http://www.w3.org/ns/lemon/ontolex#
owl: <http://www.w3.org/2002/07/owl#
p: <http://www.wikidata.org/prop/
pq: <http://www.wikidata.org/prop/qualifier/
pqn: <http://www.wikidata.org/prop/qualifier/value-normalized/
pqv: <http://www.wikidata.org/prop/qualifier/value/
pr: <http://www.wikidata.org/prop/reference/
prn: <http://www.wikidata.org/prop/reference/value-normalized/
prov: <http://www.w3.org/ns/prov#
prv: <http://www.wikidata.org/prop/reference/value/
ps: <http://www.wikidata.org/prop/statement/
psn: <http://www.wikidata.org/prop/statement/value-normalized/
psv: <http://www.wikidata.org/prop/statement/value/
qfn: <http://qlever.cs.uni-freiburg.de/function#
ql: <http://qlever.cs.uni-freiburg.de/builtin-functions/
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
ref: <http://www.wikidata.org/reference/
s: <http://www.wikidata.org/entity/statement/
schema: <http://schema.org/
skos: <http://www.w3.org/2004/02/skos/core#
v: <http://www.wikidata.org/value/
wd: <http://www.wikidata.org/entity/
wdno: <http://www.wikidata.org/prop/novalue/
wdt: <http://www.wikidata.org/prop/direct/
wdtn: <http://www.wikidata.org/prop/direct-normalized/
wikibase: <http://wikiba.se/ontology#
xsd: <http://www.w3.org/2001/XMLSchema#
foaf: <http://xmlns.com/foaf/0.1/
dc: <http://purl.org/dc/elements/1.1/
gn: <http://www.geonames.org/ontology#
bd: <http://www.bigdata.com/rdf#
hint: <http://www.bigdata.com/queryHints#
qb: <http://purl.org/linked-data/cube#
void: <http://rdfs.org/ns/void#

You should follow a step-by-step approach to generate the SPARQL query:
1. Determine possible entities and properties implied by the user question.
2. Use the functions to search for entities and properties in the knowledge graphs. Where applicable, constrain the searches with already identified entities and properties.
3. Gradually build up the SPARQL query using the identified entities and properties. Start with simple queries and add more complexity as needed. Use the execute function to get feedback on intermediate queries. You can go back and forth between knowledge graph searches and SPARQL query executions to refine the query.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

Additional rules:
1. Explain your thought process before and after each step and function call.
2. Do not assume or make up any entities or properties without verifying them with the knowledge graphs and functions.
3. The SPARQL query should always return the actual identifiers / IRIs of the items in its result. It additionally may return labels or other human-readable information, but they are optional and should be put within optional clauses unless explicitly requested by the user.
4. Do not stop early if there are still obvious improvements to be made to the SPARQL query. For example, keep refining your SPARQL query if its result contains irrelevant items or is missing items you expected.
5. Do not perform additional computation (e.g. filtering, sorting, calculations) on the result of the SPARQL query to determine the answer. All computation should be done solely within SPARQL.
6. For questions with a "True" or "False" answer the SPARQL query should be an ASK query.
7. Do not use 'SERVICE wikibase:label { bd:serviceParam wikibase:language ...' in SPARQL queries. It is not SPARQL standard and unsupported by the used QLever SPARQL endpoints. Use rdfs:label or similar properties to get labels instead.

[User] Who are the tennis players that are citizens of only Belgium?

[Assistant]
To answer this question, we need to identify the following elements:

1. Tennis players: We can look for people who have the occupation or sport of tennis player.
2. Citizens of Belgium: We need to filter those tennis players who are citizens of Belgium.
3. Only citizens of Belgium: We need to ensure that these tennis players are not citizens of any other country.

Let's start by searching for the entity representing "Belgium" and the property for "citizenship". Then we will look for the entity representing "tennis player".

[Tool]
Top 10 entity alternatives:
1. Belgium, also known as Kingdom of Belgium, BEL, be, BE, 🇧🇪 (wd:Q31): country in western Europe
2. Belgium, also known as Belgium, IL, Belgium, Illinois (wd:Q2281631): village in Illinois, United States
3. Belgium, also known as Belgium, WI (wd:Q2025327): village in Ozaukee County, Wisconsin
4. Belgium (wd:Q1658699): town in Wisconsin, United States
5. Belgium, also known as Belgium, West Virginia, Belgium, WV (wd:Q2894385): unincorporated community in West Virginia, United States
6. Belgium in the Eurovision Young Musicians, also known as Belgium (wd:Q14849447): Belgium in youth classical music contest
7. Belgium in the long nineteenth century, also known as Belgium (wd:Q16951058): history of Belgium from 1789 to 1914
8. Belgium (wd:Q106879226): family name
9. Belgium (wd:Q109469128): 2019 single by Lil Peep
10. Belgium (wd:Q19072874): poem by Florence Earle Coates

[Assistant] The correct entity for Belgium is `wd:Q31`. Now let's search for the property "citizenship" and the entity "tennis player".

[Tool]
Top 10 property alternatives:
1. country of citizenship, also known as subject of (country), nation of citizenship, national of, nationality, nation (wd:P27 as psv/p/wdtn/prv/ps/prn/psn/pq/wdt/pqn/pr/pqv): the object is a country that recognizes the subject as its citizen, country
2. country for sport, also known as sports nationality, sports country, sport nationality, sporting nationality, sport country (wd:P1532 as psv/p/wdtn/prv/ps/prn/psn/pq/wdt/pqn/pr/pqv): country a person or a team represents when playing a sport, country
3. permanent resident of, also known as landed immigrant of, PR (wd:P5389 as psv/p/wdtn/prv/ps/prn/psn/pq/wdt/pqn/pr/pqv): country or region where a person has the legal status of permanent resident
4. occupant, also known as tenant, resident, renter, occupiers, lessee (wd:P466 as psv/p/wdtn/prv/ps/prn/psn/pq/wdt/pqn/pr/pqv): person or organization occupying property, used by
5. ethnic group, also known as ethnic or cultural origin, tribal affiliation, race, people, ethnicity (wd:P172 as psv/p/wdtn/prv/ps/prn/psn/pq/wdt/pqn/pr/pqv): subject's ethnicity (consensus is that a VERY high standard of p...agreed on by scholars, or 3) is fictional and portrayed as such)
6. place of birth, also known as POB, location of birth, location born, born in, birthplace (wd:P19 as psv/p/wdtn/prv/ps/prn/psn/pq/wdt/pqn/pr/pqv): most specific known birth location of a person, animal or fictional character, location
7. residence, also known as living in, place of residence, resided at, resided in, resident in (wd:P551 as psv/p/wdtn/prv/ps/prn/psn/pq/wdt/pqn/pr/pqv): the place where the person is or has been, resident, location
8. right to vote, also known as suffrage (wd:P2964 as psv/p/wdtn/prv/ps/prn/psn/pq/wdt/pqn/pr/pqv): people who have right to vote at this election, referendum, etc.
9. category for people born here, also known as category for place of birth, category of people born here (wd:P1464 as psv/p/wdtn/prv/ps/prn/psn/pq/wdt/pqn/pr/pqv): category item that groups people born in this place, related category
10. A New Nation Votes ID (wd:P12578 as psv/p/wdtn/prv/ps/prn/psn/pq/wdt/pqn/pr/pqv): ID of a person in A New Nation Votes: American Electoral Returns, 1788-1825

[Tool]
Top 10 entity alternatives:
1. tennis player (wd:Q10833314): sportsperson who plays tennis
2. Chee-Meng Jimmy Liew, also known as Tennis player (wd:Q27579542): chess player
3. Tennis player (wd:Q50648121): painting by Roy De maistre
4. Tennis Player (wd:Q106776651): painting by James Edward Davis (Princeton y1968-145)
5. Tennis Player (wd:Q106776580): painting by James Edward Davis (Princeton y1968-146)
6. Tennis Player (wd:Q106774483): painting by James Edward Davis (Princeton y1968-147)
7. Tennis Player (wd:Q106767186): painting by James Edward Davis
8. table tennis player, also known as ping-pong player, table tennis athlete (wd:Q13382519): sportsperson taking part in table tennis competitions
9. amateur tennis player, also known as amateur tennis players (wd:Q48995125)
10. beach tennis player (wd:Q30525637)

[Assistant]
The correct property for "citizenship" is `wdt:P27`, and the correct entity for "tennis player" is `wd:Q10833314`.

Now, let's construct a SPARQL query to find tennis players who are citizens of only Belgium. We will first find tennis players who are citizens of Belgium and then ensure that they are not citizens of any other country.

Here is the initial query to find tennis players who are citizens of Belgium:

```sparql
SELECT ?player ?playerLabel
WHERE {
  ?player wdt:P106 wd:Q10833314 .
  ?player wdt:P27 wd:Q31 .
  OPTIONAL { ?player rdfs:label ?playerLabel . FILTER(LANG(?playerLabel) = "en") }
}
```

Let's execute this query and see the results.

[Tool]
Got 152 rows and 2 columns, showing the first 5 and last 5 rows below:
| ?player                               | ?playerLabel          |
| ------------------------------------- | --------------------- |
| Wim Neefs (wd:Q100286273)             | Wim Neefs             |
| Michael Geerts (wd:Q100596799)        | Michael Geerts        |
| Zizou Bergs (wd:Q100700157)           | Zizou Bergs           |
| Michel Van den Bemden (wd:Q104521760) | Michel Van den Bemden |
| Ilse de Ruysscher (wd:Q105869265)     | Ilse de Ruysscher     |
| ...                                   | ...                   |
| Marguerite Laurenan (wd:Q97146881)    | Marguerite Laurenan   |
| Marguerite Chaudoir (wd:Q97146896)    | Marguerite Chaudoir   |
| Marie Jones (wd:Q97153992)            | Marie Jones           |
| Marie Janssen (wd:Q97273137)          | Marie Janssen         |
| Elke Clijsters (wd:Q988904)           | Elke Clijsters        |

[Assistant]
We have successfully retrieved a list of tennis players who are citizens of Belgium. However, we need to ensure that these players are citizens of only Belgium and not of any other country. To achieve this, we can use a `FILTER NOT EXISTS` clause to exclude players who have any other citizenship.

Here is the refined SPARQL query:

```sparql
SELECT ?player ?playerLabel
WHERE {
  ?player wdt:P106 wd:Q10833314 .
  ?player wdt:P27 wd:Q31 .
  FILTER NOT EXISTS { ?player wdt:P27 ?otherCountry . FILTER(?otherCountry != wd:Q31) }
  OPTIONAL { ?player rdfs:label ?playerLabel . FILTER(LANG(?playerLabel) = "en") }
}
```

Let's execute this query to get the final list of tennis players who are citizens of only Belgium.

[Tool]
Got 148 rows and 2 columns, showing the first 5 and last 5 rows below:
| ?player                               | ?playerLabel          |
| ------------------------------------- | --------------------- |
| Wim Neefs (wd:Q100286273)             | Wim Neefs             |
| Michael Geerts (wd:Q100596799)        | Michael Geerts        |
| Zizou Bergs (wd:Q100700157)           | Zizou Bergs           |
| Michel Van den Bemden (wd:Q104521760) | Michel Van den Bemden |
| Ilse de Ruysscher (wd:Q105869265)     | Ilse de Ruysscher     |
| ...                                   | ...                   |
| Marguerite Laurenan (wd:Q97146881)    | Marguerite Laurenan   |
| Marguerite Chaudoir (wd:Q97146896)    | Marguerite Chaudoir   |
| Marie Jones (wd:Q97153992)            | Marie Jones           |
| Marie Janssen (wd:Q97273137)          | Marie Janssen         |
| Elke Clijsters (wd:Q988904)           | Elke Clijsters        |

[Assistant]
The refined SPARQL query has successfully returned the list of tennis players who are citizens of only Belgium. Here is the final SPARQL query and the answer to the user's question:

```sparql
SELECT ?player ?playerLabel
WHERE {
  ?player wdt:P106 wd:Q10833314 .
  ?player wdt:P27 wd:Q31 .
  FILTER NOT EXISTS { ?player wdt:P27 ?otherCountry . FILTER(?otherCountry != wd:Q31) }
  OPTIONAL { ?player rdfs:label ?playerLabel . FILTER(LANG(?playerLabel) = "en") }
}
```

The tennis players who are citizens of only Belgium are:

- Wim Neefs
- Michael Geerts
- Zizou Bergs
- Michel Van den Bemden
- Ilse de Ruysscher
- ...
- Marguerite Laurenan
- Marguerite Chaudoir
- Marie Jones
- Marie Janssen
- Elke Clijsters

I will now provide the final answer.

[Tool] Stopped generation process